Hello,
First, thank you for the excellent work on your diffusion-based MRI reconstruction. I’ve trained the model successfully on Windows using the exact command lines from the README, and everything completed without issue.
Data used:
data_fs: (5000, 256, 256)
data_us: (5000, 256, 256)
us_masks: (5000, 256, 256)
This aligns with the recommended dataset structure and flags used during both training and sampling:
--data_type singlecoil --R 2 --contrast T1.
However, when I run sample.py with the exact command line from your repo, it hangs indefinitely on Index: 0—I’ve let it run for days and never see any per-step updates (e.g. “step 1/1500”). Could you share roughly how quickly you observe each diffusion step on your setup so I can determine whether it’s truly stuck or simply extremely slow?
Thanks in advance for your time and insight!
Hello,
First, thank you for the excellent work on your diffusion-based MRI reconstruction. I’ve trained the model successfully on Windows using the exact command lines from the README, and everything completed without issue.
Data used:
data_fs: (5000, 256, 256)
data_us: (5000, 256, 256)
us_masks: (5000, 256, 256)
This aligns with the recommended dataset structure and flags used during both training and sampling:
--data_type singlecoil --R 2 --contrast T1.
However, when I run sample.py with the exact command line from your repo, it hangs indefinitely on Index: 0—I’ve let it run for days and never see any per-step updates (e.g. “step 1/1500”). Could you share roughly how quickly you observe each diffusion step on your setup so I can determine whether it’s truly stuck or simply extremely slow?
Thanks in advance for your time and insight!